Research on Pattern Recognition Based on the Universal Electronic Tongue System

Abstract

Chemical taste is indispensable information in food testing. The technical of electronic tongue system is one of research directions to identify different chemical tastes. This paper focuses on the pattern recognition method based on learning vector quantization (LVQ) neural network. The electronic tongue system designed could identify all the samples of beer, fruit juice and milk successfully in the experiments. The result shows that LVQ neural network is applicable in the pattern recognition of electronic tongue system and can also be used on condition that information is gathered by multisensors array. The pattern recognition methods of the universal electronic tongue are proposed in this paper. The effective universal electronic tongue has much advantage over others such as simple methods of pattern recognition and classification, easy training approaches and wider application fields.